评估用于定量TMT分析癌症相关细胞信号传导复杂网络动力学的磷酸肽富集策略

Q4 Biochemistry, Genetics and Molecular Biology EuPA Open Proteomics Pub Date : 2015-03-01 DOI:10.1016/j.euprot.2015.01.002
Benedetta Lombardi , Nigel Rendell , Mina Edwards , Matilda Katan , Jasminka Godovac Zimmermann
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引用次数: 14

摘要

确定正常细胞和恶性细胞信号通路的改变正在成为蛋白质组学的一个主要领域。已经建立了许多不同的方法来分离、鉴定和量化磷酸化蛋白和肽。在目前的报告中,比较了SCX预分离与抗体为基础的方法,两者都耦合到TiO2富集和应用于TMT标记的细胞裂解物,描述。抗体策略在丰富磷酸肽方面更加完整,并允许鉴定大量已知被磷酸化的蛋白质(715个蛋白质组)和最少数量的未知磷酸化蛋白质(2)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Evaluation of phosphopeptide enrichment strategies for quantitative TMT analysis of complex network dynamics in cancer-associated cell signalling

Defining alterations in signalling pathways in normal and malignant cells is becoming a major field in proteomics. A number of different approaches have been established to isolate, identify and quantify phosphorylated proteins and peptides. In the current report, a comparison between SCX prefractionation versus an antibody based approach, both coupled to TiO2 enrichment and applied to TMT labelled cellular lysates, is described. The antibody strategy was more complete for enriching phosphopeptides and allowed the identification of a large set of proteins known to be phosphorylated (715 protein groups) with a minimum number of not previously known phosphorylated proteins (2).

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EuPA Open Proteomics
EuPA Open Proteomics Biochemistry, Genetics and Molecular Biology-Biochemistry
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Proceedings of the EuBIC-MS 2020 Developers’ Meeting Editorial: The next generation in (EuPA Open) Proteomics Aims & scope Proceedings of the EuBIC Winter School 2019 Introducing the YPIC challenge
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